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Here you can browse the complete list of publications for NLST

Publication Year
Results: 315 (Showing 1 to 20)
Title PubMed Authors Journal Year Studies
OWL: an optimized and independently validated machine learning prediction model for lung cancer screening based on the UK Biobank, PLCO, and NLST populations. 36701900 Pan Z, Zhang R, Shen S, Lin Y, Zhang L, Wang X, Ye Q, Wang X, Chen J, Zhao Y, Christiani DC, Li Y, Chen F, Wei Y EBioMedicine 2023 NLST, PLCO
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography. 36634294 Mikhael PG, Wohlwend J, Yala A, Karstens L, Xiang J, Takigami AK, Bourgouin PP, Chan P, Mrah S, Amayri W, Juan YH, Yang CT, Wan YL, Lin G, Sequist LV, Fintelmann FJ, Barzilay R J Clin Oncol 2023 NLST
Updated cost-effectiveness analysis of lung cancer screening for Australia, capturing differences in the health economic impact of NELSON and NLST outcomes. 36323879 Behar Harpaz S, Weber MF, Wade S, Ngo PJ, Vaneckova P, Sarich PEA, Cressman S, Tammemagi MC, Fong K, Marshall H, McWilliams A, Zalcberg JR, Caruana M, Canfell K Br J Cancer 2023 NLST
GraphLSurv: A scalable survival prediction network with adaptive and sparse structure learning for histopathological whole-slide images. 36841107 Liu P, Ji L, Ye F, Fu B Comput Methods Programs Biomed 2023 NLST
Risk Model-Based Lung Cancer Screening : A Cost-Effectiveness Analysis. 36745885 Toumazis I, Cao P, de Nijs K, Bastani M, Munshi V, Hemmati M, Ten Haaf K, Jeon J, Tammem├Ągi M, Gazelle GS, Feuer EJ, Kong CY, Meza R, de Koning HJ, Plevritis SK, Han SS Ann Intern Med 2023 NLST
Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals. 36929398 Landy R, Wang VL, Baldwin DR, Pinsky PF, Cheung LC, Castle PE, Skarzynski M, Robbins HA, Katki HA JAMA Netw Open 2023 NLST
Early Detection of Lung Cancer in the NLST Dataset. 36909593 Mukherjee P, Brezhneva A, Napel S, Gevaert O medRxiv 2023 NLST
Significant Incidental Findings in the National Lung Screening Trial. 37155190 Gareen IF, Gutman R, Sicks J, Tailor TD, Hoffman RM, Trivedi AN, Flores E, Underwood E, Cochancela J, Chiles C JAMA Intern Med 2023 NLST
Prevention, Risk Reduction, and Hereditary Cancer Ellen T. Chang, Sam M. Janes, Allan Hackshaw, Christina A. Clarke Dur, Diana SM Buist, Earl A. Hubbell J Clin Oncol 41, 2023 (suppl 16; abstr 10633) 2023 NLST
Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency. 37015696 Fan L, Sowmya A, Meijering E, Song Y IEEE Trans Med Imaging 2023 NLST
Perinodular Parenchymal Features Improve Indeterminate Lung Nodule Classification. 35933282 Masquelin AH, Alshaabi T, Cheney N, Est├ępar RSJ, Bates JHT, Kinsey CM Acad Radiol 2023 NLST
Recurrence After Surgery for Non-small-cell Lung Cancer in the National Lung Screening Trial. 37356517 Potter AL, Costantino CL, Suliman RA, Haridas CS, Senthil P, Kumar A, Mayne NR, Panda N, Martin LW, Jeffrey Yang CF Ann Thorac Surg 2023 NLST
AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection. 37489991 Xu K, Khan MS, Li TZ, Gao R, Terry JG, Huo Y, Lasko TA, Carr JJ, Maldonado F, Landman BA, Sandler KL Radiology 2023 NLST
Quantifying emphysema in lung screening computed tomography with robust automated lobe segmentation. 37469854 Li TZ, Hin Lee H, Xu K, Gao R, Dawant BM, Maldonado F, Sandler KL, Landman BA J Med Imaging (Bellingham) 2023 NLST
Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules. 37526548 Venkadesh KV, Aleef TA, Scholten ET, Saghir Z, Silva M, Sverzellati N, Pastorino U, van Ginneken B, Prokop M, Jacobs C Radiology 2023 NLST
Overall Survival Among Patients With De Novo Stage IV Metastatic and Distant Metastatic Recurrent Non-Small Cell Lung Cancer. 37751203 Su CC, Wu JT, Choi E, Myall NJ, Neal JW, Kurian AW, Stehr H, Wood D, Henry SM, Backhus LM, Leung AN, Wakelee HA, Han SS JAMA Netw Open 2023 NLST
Level of Education Matters in Regard to Participants' Compliance With Screening in the National Lung Screening Trial. 37732698 Alali AA J Thorac Imaging 2023 NLST
Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study. 37788223 Callender T, Imrie F, Cebere B, Pashayan N, Navani N, van der Schaar M, Janes SM PLoS Med 2023 NLST, PLCO
Absolute lung cancer risk increases among individuals with >15 quit-years: Analyses to inform the update of the American Cancer Society lung cancer screening guidelines. 37909885 Landy R, Cheung LC, Young CD, Chaturvedi AK, Katki HA Cancer 2023 NLST, PLCO
Benefit-to-radiation-risk of low-dose computed tomography lung cancer screening. 37909872 Hendrick RE, Smith RA Cancer 2023 NLST